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ICML
2006
IEEE
16 years 3 months ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
MLDM
2005
Springer
15 years 8 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
ACL
2007
15 years 3 months ago
Multilingual Transliteration Using Feature based Phonetic Method
In this paper we investigate named entity transliteration based on a phonetic scoring method. The phonetic method is computed using phonetic features and carefully designed pseudo...
Su-Youn Yoon, Kyoung-Young Kim, Richard Sproat
ECIR
2010
Springer
15 years 14 days ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
110
Voted
ICPR
2004
IEEE
16 years 3 months ago
Applying A Hybrid Method To Handwritten Character Recognition
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
Chin-Chin Lin, Chun-Jen Chen, Fu Chang